teya - Senior Data Analyst (Marketing)
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Requirements
• 3+ years of professional experience in a Data-related role (ideally within Growth or Performance Marketing). • Strong proficiency in SQL and Tableau (or equivalent BI tool). • Proven experience with dbt and Data Modelling in a cloud environment (Snowflake, BigQuery, or Redshift). • Deep understanding of ETL/ELT processes. • Proficiency in using Git for version control. • Strong analytical skills with the ability to translate technical findings into clear business conclusions. • A self-starter attitude, comfortable adapting quickly in a fast-paced environment. • Direct experience with Marketing Attribution models (First-touch, Multi-touch, MMM). • Experience working with Data Scientists to build datasets for churn prediction or LTV forecasting. • Familiarity with Marketing Technology stacks (Segment, AppsFlyer, Braze, etc.). • Proficiency in Python for data manipulation and exposure to Machine Learning.
Responsibilities
• Data Leadership: Lead the marketing function with data-driven solutions, owning the roadmap for campaign reporting and performance marketing analytics. • Modelling & Architecture: Design, implement, and maintain scalable marketing data models in dbt. You will ensure our Data Warehouse remains the "source of truth" for marketing ROI and CAC. • Semantic Layer Development: Build and maintain a robust semantic layer on top of marketing data to ensure consistent definitions of key metrics (e.g., Lead-to-Won, LTV) across the business to feed AI workflows and AI semantic views in Snowflake Cortex. • Stakeholder Management: Partner with Growth and Brand leads to translate complex raw data from various platforms (Google Ads, Meta, Hubspot) into well-designed data models and reports. • Self-Service Growth: Promote a data-driven culture by developing Tableau dashboards and training marketing stakeholders to interpret campaign performance independently. • Optimization: Analyze the full marketing funnel to improve conversion rates and identify high-value acquisition channels. • Data Quality: Maintain high standards for data quality, working with Data Engineers to ensure data consistency and reliability
Benefits
• Physical and mental health support through our partnership with GymPass giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness, and nutrition apps • Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support • Cycle-to-Work Scheme • Health and Life Insurance • Pension Scheme • 25 days of Annual Leave (+ Bank Holidays) • Office snacks every day • Friendly, comfortable, and informal office environment in Central London
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